中国科学院光电技术研究所机构知识库
Advanced  
IOE OpenIR  > 自适应光学技术研究室(八室)  > 会议论文
题名:
GPU-based parallel optimization implement of phase diversity
作者: Quan, Zhang1,2,3,4; Hua, Bao1,3; Changhui, Rao1,3; Zhenming, Peng2
出版日期: 2014
会议名称: Proceedings of SPIE: International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
会议日期: 2014
学科分类: Cost functions - Image processing - Image reconstruction - Optical data processing - Optimization - Parallel architectures - Parallel processing systems - Pattern recognition - Pixels - Program processors - Wavefronts
DOI: 10.1117/12.2073135
通讯作者: Changhui, Rao
中文摘要: Phase diversity (PD) can not only be used as wavefront sensor but also as image post processing technique. However, its computations have been perceived as being too burdensome and it is difficult to achieve its real time application on a PC platform. In this paper, we carried out parallel analysis on the algorithm and task assignments on the heterogeneous platform of CPU-GPU, and then implement parallel programing optimization on GPUs. The optimization strategies of the cost function on GPU are introduced. The process of OTF is improved to make the amount of calcuation reduced by 11% compared to the original method. In order to demonstrate the speedup of PD, two images, 128×128 pixels and 256×256 pixels in dimension, are tested on CPU platform and CPU/GPU heterogeneous platform respectively. The results show the time costs have the improvenments of 13x and 28x for the implementation of PD based on GPU in contrast with that based on CPU. © 2014 SPIE.
英文摘要: Phase diversity (PD) can not only be used as wavefront sensor but also as image post processing technique. However, its computations have been perceived as being too burdensome and it is difficult to achieve its real time application on a PC platform. In this paper, we carried out parallel analysis on the algorithm and task assignments on the heterogeneous platform of CPU-GPU, and then implement parallel programing optimization on GPUs. The optimization strategies of the cost function on GPU are introduced. The process of OTF is improved to make the amount of calcuation reduced by 11% compared to the original method. In order to demonstrate the speedup of PD, two images, 128×128 pixels and 256×256 pixels in dimension, are tested on CPU platform and CPU/GPU heterogeneous platform respectively. The results show the time costs have the improvenments of 13x and 28x for the implementation of PD based on GPU in contrast with that based on CPU. © 2014 SPIE.
收录类别: Ei
语种: 英语
卷号: 9301
ISSN号: 0277786X
文章类型: 会议论文
页码: 930137
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/7819
Appears in Collections:自适应光学技术研究室(八室)_会议论文

Files in This Item:
File Name/ File Size Content Type Version Access License
2014-2158.pdf(401KB)会议论文--限制开放View 联系获取全文

作者单位: 1. Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, China
2. School Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, China
3. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China
4. University of Chinese, Academy of Sciences, Beijing, China

Recommended Citation:
Quan, Zhang,Hua, Bao,Changhui, Rao,et al. GPU-based parallel optimization implement of phase diversity[C]. 见:Proceedings of SPIE: International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition. 2014.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Quan, Zhang]'s Articles
[Hua, Bao]'s Articles
[Changhui, Rao]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Quan, Zhang]‘s Articles
[Hua, Bao]‘s Articles
[Changhui, Rao]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: 2014-2158.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院光电技术研究所 - Feedback
Powered by CSpace